An improved classification for parallel inference framework with hierarchy

Authors:
Hai Ying Liu;Lei Li
Affiliations:
College of Information, Hebei Polytechnic University, Tangshan, Hebei, China;Editorial Department, Beijing CCID net Information Technology Co., Ltd., Beijing, China
Venue:
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Year:
2009

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Abstract

An improved classification for parallel inference framework with hierarchy based on the present structure of the parallel inference system is introduced. The structure is divided into some hierarchies which join each other according to the level. The efficiency is improved greatly by reducing the work of host computer in the parallel inference framework. The comparative data shows that inference speed is increased and inference efficiency is improved with parallel inference framework with hierarchy. With respect to parallel inference, this Classification Parallel Inference Framework with Hierarchy has certain application potentiality.